alphabet Alphabet Merges Google Brain and DeepMind to Fight Microsoft AI Threat Alphabet combines its two premier AI research labs into Google DeepMind under Demis Hassabis as it battles Microsoft for generative AI dominance.
google Google Merges Brain and DeepMind Teams Into Single AI Division Google combines its DeepMind and Google Brain research teams into a unified unit called Google DeepMind to accelerate AI development and keep pace with industry rivals.
google brain Google Brain Unveils Imagen AI, Surpassing DALL-E 2 in Image Generation Google's Brain Team introduces Imagen, a text-to-image AI model that achieves state-of-the-art results on standard benchmarks using a unique pre-training approach. The system generates highly realistic images from text descriptions while outperforming competitors like DALL-E 2.
google Google Develops LaMDA to Power Next-Generation Conversational AI Google's LaMDA is a family of large language models designed specifically for dialogue applications, originally introduced as Meena before evolving into the engine behind the Bard chatbot.
google Google Switch Transformer Achieves Massive Scale Through Efficient Routing Google Brain introduces the Switch Transformer, a one-trillion-parameter language model that pre-trains faster than its T5 predecessor by only activating relevant parts of its network at any given time.
google brain Google Releases Open-Source Switch Transformer with 1.6 Trillion Parameters Google Brain open-sources the Switch Transformer, a massive 1.6-trillion-parameter AI language model that trains up to seven times faster than its predecessor. The model achieves this speed by using a mixture-of-experts approach to keep computational costs low.
google Google Open-Sources Trillion-Parameter Switch Transformer AI Model Google Brain releases the Switch Transformer, a 1.6-trillion-parameter NLP model that trains seven times faster than its T5 predecessor. The model achieves this efficiency by using a mixture-of-experts approach to activate only a portion of its massive network for any given input.
google brain Google Brain Unveils 1.6-Trillion Parameter Switch Transformer Google Brain introduces the Switch Transformer, a massive 1.6-trillion parameter language model that achieves a four-times pretraining speedup over the T5-XXL baseline. The model keeps computational costs under control by using a simplified Mixture of Experts routing technique.
neurips 2020 NeurIPS 2020 Highlights Novel Approaches in Computer Vision Research Leading tech labs present innovative computer vision papers at NeurIPS 2020, focusing on segmentation, object detection, and texture bias. One standout project uses causal inference to significantly improve weakly-supervised semantic segmentation.